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NUMERICAL INVESTIGATION OF MWCNT/ZNO HYBRID NANOFLUID HEAT PERFORMANCE OF A COUNTER FLOW HEAT EXCHANGER

Authors:

Pidaparthy Maheshbabu, R. Ramkumar, Goda Sreenivasulu Reddy, M. Bakkiyaraj, Prakash H. , Jadhav

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00008

Abstract:

The numerical study explores the augmentation of heat dissipation rate and efficiency of a counter flow heat exchanger (CFHEx) in the presence of (MWCNT/ZnO) hybrid nanofluids (HNF). The HNF concentration is varied from 0.01% to 0.05% in steps of 0.02%. The Reynolds number (Re) of cold fluid is varied from 2436 to 11626, while that of hot fluid, Re, is kept constant. The typical k-ɛ model is utilized for the numerical simulation in turbulent flow regimes. The current numerical results are compared to the literature to serve as validation purpose. From the validation study, the Nusselt (Nu) number agrees well with the numerical and experimental data of the literature, with a deviation of less than 6%. From the numerical study, it can be observed that when the concentrations of HNF the Nu number intensifies meaningfully with a rise in the Re number. For HNF concentration of 0.05%, the average increase in Nusselt number (Nu) is found to be around 41.35% and 23.13% higher than that of base fluid water and 0.01% concentration of HNF, respectively, with an adequate rise in the pressure drop. The critical performance evaluation criteria are also determined, and it is found that at higher concentrations, of hybrid nanofluid performs better than at lower concentrations of the hybrid nanofluid. In addition, the PEC is found to be maximum at lower Re numbers, and further, it reduces with an increase in the flow Re number.

Keywords:

Friction factor,Heat Exchanger,Hybrid nanofluid,Nusselt number,Performance evaluation criteria,

Refference:

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MATHEMATICAL ANALYSIS OF FEEDBACK QUEUE NETWORK MODEL WITH PRIORITVY COMPRISED OF TWO SERIAL CHANNELS WITHIN STOCHASTIC CONDITIONS

Authors:

Preeti, Deepak Gupta, Vandana Saini

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00009

Abstract:

This paper presents a comprehensive analysis of a feedback queue model with a Priority mechanism and investigates its behavior under stochastic conditions. This model comprises two serially connected service channels, with priority applied exclusively to the first service channel. Upon entry, customers are classified into two groups-low and high priority. A preemptive priority discipline is used at the first server to distinguish between high- and low-priority customers, thereby reflecting real-world service hierarchies. The feedback mechanism in the model allows for a maximum of one time only for the customer’s satisfaction with the service. The arrival of the customers is governed by a Poisson process and and service times at both servers are assumed to follow independently and be exponentially distributed. Upon service completion at the second server, customers may either exit the system permanently or re-enter the network through a feedback loop. The Steady-state behavior of the system is captured through a set of differential equations, which are solved by using the generating function technique combined with classical calculus laws. Various queue performance indicators, including average queue length, variance in queues, server utilization, and total duration time, are discussed. In the last section, a comparative study of the model with the literature is also discussed. The model’s behaviour is well demonstrated both graphically and numerically and provides an in-depth understanding of how each parameter influences the overall system performance, and the obtained results prove the stability and accuracy of the model. The insights derived from the analysis could help understand the design and optimization of the queueing model in different settings such as hospitals, manufacturing industries, and telecommunications.

Keywords:

Feedback,Generating function techniques,Priority,Queueing,Serial Channel,Stochastic condition,

Refference:

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A MODIFIED CLOSED-TYPE HYBRID QUADRATURE FOR THE NUMERICAL SOLUTION OF SINGULAR COMPLEX-VALUED INTEGRALS

Authors:

Bibhuranjan Nayak, Shubhankar Palai, Dwiti Krushna Behera, Tusar Singh

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00010

Abstract:

A novel closed-type modified anti-Gaussian 4-point transformed rule has been developed for solving Cauchy principal value complex integrals. Furthermore, a more precise mixed quadrature rule MQ(f), has been created by combining the closed-type modified quadrature rule with the Gauss-Legendre 2-point transformed technique. Theoretical analysis of errors confirms the enhanced performance of the newly proposed quadrature rule. Numerical computation of various sample integrals is performed. The numerical calculations demonstrate the superiority of the new rule among others.

Keywords:

Cauchy principal value integrals,Gauss-Legendre transformed rule,closed-type anti-Gaussian transformed rule,mixed rule,singularity,

Refference:

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XI. R. B. Dash, and D. Das, “A Mixed Quadrature Rule by Blending Clenshaw-Curtis and Gauss-Legendre Quadrature Rules for Approximation of Real Definite Integrals in Adaptive Environment”, Proceeding of the International Multi Conference of Engineers and Computer Scientists, Volume : 1, 2011, pp :16-18.
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XII. R. N. Das and G. Pradhan, “A Mixed Quadrature Rule for Approximate Evaluation of Real Definite Integrals”, Int. J. Math. Educ. Sci. and Tech., Volume : 27, Issue : 2,1996, pp 279-283. 10.1080/0020739960270214
XIII. R. N. Das and M. K. Hota, “A Derivative Free Quadrature Rule for Numerical Approximations of Complex Cauchy Principal Value of Integrals”, Applied Mathematical Sciences, Volume : 6, Issue : 111, 2012,pp : 5533-5540.
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XVI. S. K. Mohanty and R. B. Dash, “A quadrature rule of Lobatto-Gaussian for Numerical integration of Analytic functions”, Numerical Algebra Control and Optimization, Volume:12, Issue:4, 2022, pp:705-718. 10.3934/naco.2021031.
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A HYBRID APPROACH TO SECURE CONTAINER ORCHESTRATION: INTELLIGENT WATER DROP ALGORITHM WITH ANTI-COLLOCATION AND SECURITY AFFINITY RULES

Authors:

Kanika Sharma, Parul Khurana, Ramandeep Sandhu, Chander Prabha, Harpreet Kaur, Deepali Gupta

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00011

Abstract:

Container-based virtualization has become prominent as lightweight virtualization due to its scalability, resource utilization, and portability, especially in microservices. Container scheduler plays an essential role in Container services to optimize performance to reduce the overall cost by managing load balancing. However, scheduling Containers with efficiency while ensuring the Container security remains one of the major challenges. This paper presents a hybrid scheduling approach by combining a nature-inspired algorithm with the security principle. Our proposed technique combines the optimization of the Intelligent Water Drop (IWD) algorithm with Anti-Collocation and Security Affinity Rules (ACAR) to ensure the privacy of Containers. IWD-ACAR focuses on resource optimization, and one of the security concerns is that no more than two Containers should be placed on the less secure node. To simulate the proposed technique, we have used Python, and the simulation results demonstrate 25% improvement in the resource utilization along with a 98% threat detection rate in real-time monitoring. The proposed approach balances the various performance evaluation parameters like CPU utilization, memory utilization, along security in a cloud environment.

Keywords:

Cloud Computing,Containerization,Isolation,Resource allocation,Scheduling,Security,

Refference:

I. Bachiega, Naylor G., Paulo S. L. de Souza, Sarita M. Bruschi, and Simone do R. S. de Souza. “Container-Based Performance Evaluation: A Survey and Challenges.” 2018 IEEE International Conference on Cloud Engineering (IC2E), IEEE, April 2018, pp. 398–403. 10.1109/IC2E.2018.00075.
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MATHEMATICAL MODELING OF NONLINEAR BOUNDARY VALUE PROBLEM IN Mn-Cu CATALYTIC COMBUSTION OF VOLATILE ORGANIC COMPOUNDS USING ASYMPTOTIC METHODS

Authors:

A. Dorathy Cathrine, R. Raja, R. Swaminathan

DOI NO:

https://doi.org/10.26782/jmcms.2025.07.00012

Abstract:

The Article describes the kinetic approach to ethanol and ethyl acetate combustion using a Mn-Cu catalyst. Catalytic combustion is an established process for removing volatile organic compounds. Acetaldehyde is an intermediate product of ethanol oxidation. The kinetic mechanism of this model is expressed in terms of a nonlinear equation in planar coordinates. Approximate analytical solutions for the concentrations of ethanol, ethyl acetate, and acetaldehyde are derived using asymptotic methods. Analytical results are verified to be accurate through a direct comparison with numerical simulation. This paper aims to provide a kinetic evaluation of the combustion of ethanol over a Mn-Cu catalyst. The study was conducted to estimate the appropriate kinetic parameters and formulate reasonable reaction rate expressions.

Keywords:

Catalytic Combustion,Mathematical modeling,Nonlinear differential equations,

Refference:

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